Abstract
This paper presents a high-fidelity aerodynamic optimisation framework designed to decrease the cost of optimisation of large wind turbine blades. The framework is presented in the context of the IEA 15MW reference turbine, but is applicable to all large turbine geometries. Optimisation is performed using a surrogate model, built through latin hypercube sampling of the design space, with a GPU accelerated CFD code. Aerofoil parameterisation is handled through the use of singular value decomposition of the aerofoil nodes, built on a database of 1300 aerofoils. A preliminary optimisation study is performed on the surrogate model to demonstrate the capability and functionality of such a system.
Original language | English |
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Title of host publication | AIAA SciTech Forum and Exposition 2022 |
Subtitle of host publication | AIAA 2022-1292 Session: Optimization of Blades and Rotors |
Publisher | American Institute of Aeronautics and Astronautics Inc. (AIAA) |
ISBN (Electronic) | 9781624106316 |
DOIs | |
Publication status | Published - 29 Dec 2021 |
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Alam, S. R. (Manager), Williams, D. A. G. (Manager), Eccleston, P. E. (Manager) & Greene, D. (Manager)
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